LPR Parking by SNGULAR
Edge Computing License Plate Reader
The edge computing license plate reader for access controls to car parks and low emission zones (ZBE)
LPR Edge Computing provides artificial intelligence to Bosch Inteox cameras. As its name suggests (License Plate Recognition) is a license plate recognition application that focuses on parking management and access control applications. This license plate reader in APP format is more agile, thanks to the edge computing architecture, it is easily configurable and can be integrated with other applications.
Edge computing technology to boost
your license plate reader system
What novelties does this LPR bring?
The license plate reading system is already something that has existed on the market for years, however, the main novelty that this APP brings is edge computing technology, this means that unlike most existing solutions, our application does not transmits the video stream, but rather processes it in the camera itself and only sends metadata, thus improving response times, eliminating a stable Internet connection while saving bandwidth, reducing installation costs and infrastructure and also takes data privacy into account.
LPR features
Advantages of using SNGULAR's LPR Artificial Intelligence as a license plate reader
The installation of LPR Edge Computing in your Bosch Inteox camera will provide your license plate reader system with the following features or added values:
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Instant license plate reader
In just a few milliseconds and with a success rate of 95%.
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Edge computing
Video processing in the camera itself, sends only metadata.
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Admission and exclusion list
Choose who can and cannot enter your parking lot or restricted access area.
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Custom integration
Designed for Bosch Inteox and BVMS cameras, it also allows the integration of custom APIs.
Smart solutions based on AI and Edge Computing for your business
Where is LPR Edge Computing applied?
Initially, the LPR Edge Computing application is configured to solve:
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Access control to parking lots, public and private.
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Access control to low emission zones (LEZ).
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Control at charging points and gas stations.
Deep learning to provide artificial intelligence to your system
How does LPR Edge Computing work?
The application uses deep learning models divided into two main steps and two key points:
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Detección
It detects the license plate in the video transmission and generates its coordinates in the image.
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Recognition
It uses these coordinates to extract the license plate image and read the characters from it.
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High accuracy
Between both layers, we use advanced image processing techniques to achieve high accuracy in a multitude of scenarios.
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Integración
The information processed throughout the application can be sent to your own video management system or other applications for further use.
Do you want to see an online demo?
Where can I get LPR Edge Computing?
Now available in the Azena Application Store!
LPR Edge Computing by SNGULAR has been available since March 2022 on the Azena Application Store, initially for Spain and Portugal, with an interesting introductory offer, and the option to download a free 30-day trial version.
400€*
¡Oferta de lanzamiento!
*Licencia de por vida.
Any question about LPR Edge Computing?
Contact with our team,
we love hearing from you
Do you have an idea that can't wait? Any questions about LPR Edge Computing? o Do you just want to make a comment about the application? Do not hesitate to contact us through the contact form or through the email address:
azena@sngular.com
We will be happy to answer any of your questions.
Why working with Sngular?
We are more than developers, IoT and Artificial Intelligence tailored to your projects
License plate recognition applications can be quite complex and cumbersome to configure for specific use cases. That is why SNGULAR, in collaboration with BOSCH Engineering, has designed a specific application for parking and access control use cases that can be easily configured according to your specific needs, which provides artificial intelligence to your license plate reader system and streamlines through edge computing architecture. Our AI (artificial intelligence) team will be happy to answer your technical queries, as well as implement any customizations you may need for your specific use cases.